Journal ArticleDOI
Combining data analytics and developers feedback for identifying reasons of inaccurate estimations in agile software development
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TLDR
A tool is implemented that combines data analytics and developers’ feedback with human-in-the-loop mechanisms to improve effort estimations and elaborate causes for inaccurate estimations going beyond the borders of existing literature.About:
This article is published in Journal of Systems and Software.The article was published on 2019-10-01. It has received 15 citations till now. The article focuses on the topics: Empirical process (process control model) & User story.read more
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An Update on Effort Estimation in Agile Software Development: A Systematic Literature Review
Marta Fernández-Diego,Erwin R. Mendez,Fernando González-Ladrón-de-Guevara,Silvia Abrahão,Emilio Insfran +4 more
TL;DR: A systematic literature review that updates the Usman et al. study from 2014 to 2020 by analyzing the data extracted from 73 new papers identified six agile methods: Scrum, Xtreme Programming and four others, in all of which expert-based estimation methods continue to play an important role.
Journal ArticleDOI
Big Data analytics in Agile software development: A systematic mapping study
TL;DR: The results show that BDA is employed throughout the whole ASD lifecycle and that data-driven software development is focused on the following areas: code repository analytics, defects/bug fixing, testing, project management analytics, and application usage analytics.
Journal ArticleDOI
Predictive analytics approaches for software effort estimation: A review
TL;DR: Experiments on various machine learning algorithms for software Effort Estimation determines that Support Vector Machine produced the best performance comparatively with other algorithms.
References
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Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI
A Systematic Review of Software Development Cost Estimation Studies
Magne Jørgensen,Martin Shepperd +1 more
TL;DR: A systematic review of previous work identifies 304 software cost estimation papers in 76 journals and classifies the papers according to research topic, estimation approach, research approach, study context and data set to provide a basis for the improvement of software-estimation research.
Journal ArticleDOI
A review of studies on expert estimation of software development effort
TL;DR: An extensive review of studies related to expert estimation of software development effort suggests that expert estimation is the most frequently applied estimation strategy for software projects, that there is no substantial evidence in favour of use of estimation models, and that there are situations where the authors can expect expert estimates to be more accurate than formal estimation models.